Paper: Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
@inproceedings{hmt_grn,
title={Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation},
author={Lim, Nicholas and Hooi, Bryan and Ng, See-Kiong and Goh, Yong Liang and Weng, Renrong and Tan, Rui},
booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages={1133–1143},
year={2022}
}Q: Do you provide the datasets?
A: Our datasets are from https://snap.stanford.edu/data/loc-gowalla.html and https://sites.google.com/site/yangdingqi/home, following the paper. Please feel free to do your own data pre-processing.
Q: What is "global_scale" referring to in the code?
A: "global_scale" or the Foursquare dataset refers to the dataset of https://sites.google.com/site/yangdingqi/home/foursquare-dataset#h.p_ID_56. As there are several variants of the foursquare dataset, we use "global_scale" for better differentiation.